AIMS AND OBJECTIVES

The one day symposium is intended to provide a forum for discussion, dissemination
and exchange of ideas between practitioners and researchers working within
the broad field of Knowledge Discovery in Data (KDD). To this end
a number of key people will be presenting a "state of the art"
review of much of the KDD research work currently in progress
within UK institutions. It is hoped that the symposium will attract
delegates, both national and international, who are either directly involved
in KDD or have a significant interest in the subject, and that the meeting will
consequently afford an opportunity for lively debate and discussion.
The symposium will end with a plenary session to discuss future directions and
opportunities.

PROGRAMME

Max Bramer is Professor of Information Technology at the
University of Portsmouth. He is Chairman of the British Computer
Society Specialist Group on Artificial Intelligence and of the
Technical Committee on Artificial Intelligence of IFIP, the
International Federation for Information Processing. He has a long-
term involvement in the field of Knowledge Discovery and was
Conference Chair for the fourth IEEE International Conference on
Data Mining in Brighton in November 2004.

Peter Flach is Professor of Artificial
Intelligence at the University of Bristol. He has published widely on
inductive logic programming, multi-relational data mining, and machine
learning. He was PC co-chair of ILP'99 and ECML'01, is on the steering
committee of the recent ECML/PKDD conferences, and is a regular PC member
of all major machine learning and data mining conferences including ICML,
ECML/PKDD, ILP, ICDM, SDM, and PAKDD. Prof Flach is associate editor of
Machine Learning, and serves on the editorial boards of Journal of Machine
Learning Research, Journal of Artificial Intelligence Research, and
Artificial Intelligence Communications.

David Hand - Spotting the
difference: detecting anomalies in large data sets

David Hand, FBA, is Professor of Statistics at
Imperial College. He was awarded the Royal Statistical Society's Guy Medal in
Silver in 2002 partly for his work in areas at the interface with other
disciplines, such as data mining. He has published over twenty books in
statistics and related areas, including Principles of Data Mining and
Pattern Detection and Discovery.

John Keane - Efficient and
Effective Mining

Professor John Keane is Co-Director of the
JISC/BBSRC/EPSRC funded National Centre in Text Mining. His interests are in
the design, development and engineering of data-intensive systems, most
recently, working in the areas of location analysis, and data and text mining.
John Keane is PI for the EPSRC projects IBHIS and
HIPERSTAD , and Co-I for the BBSRC project Text Mining.
He is a member of the EPSRC IT/CS Peer Review Panel, a member of the Editorial
Board of Simulation Modeling.

Ross King - Applied Inductive Logic
Programming

Ross King is a Professor of Computer Science and
head of the
Computational Biology research group at Aberystwyth. His principal
research area is in the application and development of machine
learning/data mining to bioinformatic and chemoinformatic problems.
He was on the programme committee for PKDD'03 (Croatia).

Paul Leng is Professor of e-Learning at the
University of Liverpool, and Director of the e-Learning Unit, which is
responsible for overseeing the University's online degree programmes,
leading to degrees of MSc in I.T. and MBA. As well as e-Learning, his main
research interests are in Data Mining, especially in methods of discovering
Association Rules. In collaboration with Frans Coenen, he has developed
efficient new algorithms for finding frequent sets and is exploring
applications in text mining and classification.

George Smith - Meta-heuristics
in the KDD Process

George Smith is a senior lecturer within the
Knowledge Extraction and Data Mining research group at the University of
East Anglia --- the largest specialist Data Mining research group in
the UK. He has considerable experience in the practical application of data
mining techniques in collaboration with industrial and commercial partners.

LOCATION

The symposium will take place in the University of Liverpool's
Foresight centre
(http://www.foresightcentre.co.uk/).

STUDENT BURSARIES

The EPSRC has generously agreed to sponsor the UKKDD symposium by providing
a number of £125 student bursaries to support the event.

What the bursaries Cover: Each bursary covers the £30/£35
registration cost plus travel up to a maximum of £95/£90.

Who is eligible: Any postgraduate student registered at a UK
academic institution who does NOT have access to alternative EPSRC funding
for travel.

How to apply:

If you are a PG student: In the first instance by email to Frans Coenen at
frans@csc.liv.ac.uk giving your name and academic address and the name and
contact email of your supervisor. Your supervisor will then be contacted and
asked to confirm that: (a) you are registered for a postgraduate degree at a
UK academic institution and (b) that you are not in receipt of alternative
EPSRC travel funding.

If you are the supervisor of a PG student who you wish to attend the
UKKDD symposium: By email to Frans Coenen at frans@csc.liv.ac.uk giving the
name and academic address of the student, and confirming that the student:
(a) is registered for a postgraduate degree at a UK academic institution and
(b) is not in receipt of alternative EPSRC travel funding.